One of 2025’s major elections could have major implications for the midterms. One of 2025's major elections could have major reverberations for the 2026 midterms. Californians are voting on a ballot ...

Abstract: The automatic segmentation of liver tumors plays an important role in the diagnosis and treatment of liver cancer. While deep convolutional neural network (DCNN) models are widely used for ...

As shown below, the inferred masks predicted by our segmentation model trained on the PNG dataset appear similar to the ground truth masks, but they lack precision in certain areas. As shown above, ...

Introduction: Liver cancer is among the leading causes of cancer-related deaths worldwide. Accurate delineation of hepatic tumors is crucial for diagnosis, prognosis, and treatment planning, yet ...

This is the first experiment of Image Segmentation for CHAOS-MR-T2SPIR Multiclass (Liver, Kidney and Spleen) based on our TensorFlowFlexUNet (TensorFlow Flexible UNet Image Segmentation Model for ...

Introduction: Thyroid nodule segmentation in ultrasound (US) images is a valuable yet challenging task, playing a critical role in diagnosing thyroid cancer. The difficulty arises from factors such as ...

Abstract: Semantic segmentation techniques have become an attractive research field for autonomous driving. However, it is well-known that the computational complexity of the conventional semantic ...